Optimization Scheduling for Microgrid Clusters: A Robust Game Theory-Based Method with Shared Energy Storage

被引：0
|
作者：
Deng, Peng [1 ]
Qian, Jianing [2 ]
Zhang, Rui [2 ]
Wu, Qiyu [2 ]
Shi, Yankun [2 ]
机构：
[1] State Grid Nanjing Lishui Elect Power Supply Co, Nanjing 210023, Peoples R China
[2] Nanjing Annengjie Elect Power Ind Co Ltd, Nanjing 210023, Peoples R China
来源：
2024 THE 7TH INTERNATIONAL CONFERENCE ON ENERGY, ELECTRICAL AND POWER ENGINEERING, CEEPE 2024 | 2024年
关键词：
shared energy storage; distributed robust optimization; Nash negotiations; microgrid;
D O I：
10.1109/CEEPE62022.2024.10586387
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, we propose a distributed robust game-theoretic optimization scheduling method consists of a comprehensive microgrid model encompassing multiple energy forms alongside a shared energy storage model, a robust optimization theory and the the Nash bargaining theory for microgrid clusters with shared energy storage. Also, we employ the alternating direction method of multipliers to solve the sub-problems in this model. In essence, our approach achieves both flexibility and economic efficiency within the system.
引用
收藏
页码：1175 / 1180
页数：6
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